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A Design Method of Feature Matrix for ECG Recognition

A feature matrix and design method technology, applied in the interdisciplinary field of biomedicine and computer science, can solve the problem of losing the original signal and achieve the effect of improving accuracy

Inactive Publication Date: 2019-12-03
SICHUAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problem that the original signal is more or less lost in the process of extracting features from the ECG signal, and provides a new deterministic feature matrix design method

Method used

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  • A Design Method of Feature Matrix for ECG Recognition
  • A Design Method of Feature Matrix for ECG Recognition
  • A Design Method of Feature Matrix for ECG Recognition

Examples

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Embodiment Construction

[0015] Specific implementation examples are given below and the present invention is further described in conjunction with the accompanying drawings.

[0016] figure 1 is a flowchart of a feature matrix design method for ECG recognition, the method includes the following steps:

[0017] Step 1: Fundamental Matrix s Choice;

[0018] In the above basic matrix selection, the present invention selects a chaotic spread spectrum matrix with unity of determinism and randomness as the basic matrix, combining figure 2 , specifically explain the steps of constructing the chaotic spreading matrix:

[0019] Step 1.1: The Chebyshev map combines the iterative expressions of the trigonometric functions:

[0020] , where the initial value , , iterate a certain number of times to obtain a chaotic sequence of a certain length;

[0021] Step 1.2: Randomly select a length of The sequence of uses the sign function Binarize the sequence to get the spreading sequence ;

[0022] S...

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Abstract

The invention requests to protect a design method of a characteristic matrix used for ECG recognition aiming at solving the problem of decreased classification precision due to ECG feature extraction methods which may lose detail information of original signals more or less. The method comprises following steps: (1) basic matrix selection, selecting a chaotic spread spectrum matrix as the basic matrix; (2) matrix optimization, successively performing normalization and discrete cosine transformation on the matrix; (3) characteristic extraction, extracting the ECG characteristics by means of the optimized matrix and performing standardization on characteristic vectors. The characteristic matrix is optimized by means of the above method; the optimized characteristic vectors extracted by the characteristic matrix are standardized for ECG recognition and classification; the classification precision can reach 94% and the precision is steady.

Description

technical field [0001] The invention relates to the cross field of biomedicine and computer science, in particular to a method for designing a feature matrix for identifying electrocardiographic signals. Background technique [0002] The latest statistics from the World Health Organization (WHO) show that with the aging of the population, heart disease has become a disease with a high mortality rate. Although the traditional ECG monitoring system can effectively reduce the mortality of heart disease patients, it cannot monitor the ECG signals of patients in real time because it cannot be remotely monitored. Many patients with sudden death had ECG abnormalities in the weeks before the onset, but because there was no 24-hour ECG monitoring, the onset usually only lasted for tens of seconds, and abnormal ECGs appeared for a short time and were not easy to appear. Doctors If the diagnosis cannot be made based on the existing electrocardiogram, the patient may be in danger becau...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/7235A61B5/7264A61B5/316A61B5/318
Inventor 李智符博娟陈珊珊
Owner SICHUAN UNIV
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